Multi-temporal transport network models for accessibility studies

Autor(es)

Tomasiello, Diego Bogado ^[1] ; Giannotti, Mariana ^[1] ; Arbex, Renato ^[1] ; Davis, Clodoveu ^[2]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Sao Paulo - Brazil

^[2] Univ Fed Minas Gerais, Belo Horizonte, MG - Brazil

• Tipo de documento: Artigo Científico
• Fonte: TRANSACTIONS IN GIS; v. 23, n. 2, p. 203-223, APR 2019.
• Citações Web of Science: 1

Resumo

Vehicle tracking is a spatio-temporal source of high-granularity travel time information that can be used for transportation planning. However, it is still a challenge to combine data from heterogeneous sources into a dynamic transport network, while allowing for network modifications over time. This article uses conceptual modeling to develop multi-temporal transport networks in geographic information systems (GIS) for accessibility studies. The proposed multi-temporal network enables accessibility studies with different temporal granularities and from any location inside the city, resulting in a flexible tool for transport and urban planning. The implemented network is tested in two case studies that focus on socially excluded people in a large global city, Sao Paulo, Brazil, including accessibility analyses from slum areas. It explores variations within a day and differences between transport modes across time. Case study results indicate how the accessibility is heterogeneous in low-income regions. (AU)

• Processo FAPESP: 15/50127-2 - Resolution: resilient systems for land use transportation
• Beneficiário: Eduardo Cesar Leão Marques
• Modalidade de apoio: Auxílio à Pesquisa - Temático